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New Technology of Library and Information Service  2016, Vol. 32 Issue (7-8): 3-11    DOI: 10.11925/infotech.1003-3513.2016.07.02
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Social Public Opinion Analysis and Decision Making Support with Big Data
Cen Yonghua,Wang Yuefen()
School of Economics and Management, Nanjing University of Science &Technology, Nanjing 210094, China
Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094, China
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Abstract  

[Objective] This paper explores the theoretical foundation and key research topics of social public opinion analysis and decision making support with the help of big data. [Methods] We first reviewed the related theories and methods of library and information science, communication studies, public administration, computer science, psychology, system dynamics, and complex network. Then, we summarized key research based on field studies and practice analysis. [Results] We proposed six perspectives to guide research design and content organization, and also tried to solve five key issues including the effects of social public opinion dissemination to government’s decision making. [Conclusions] Big data brings new opportunities for social public opinion analysis and decision making support, which require much more new research.

Key wordsSocial public opinion analysis      Government decision support      Research perspective      Key issues      Big data     
Received: 12 June 2016      Published: 29 September 2016

Cite this article:

Cen Yonghua,Wang Yuefen. Social Public Opinion Analysis and Decision Making Support with Big Data. New Technology of Library and Information Service, 2016, 32(7-8): 3-11.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2016.07.02     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2016/V32/I7-8/3

[1] 王曰芬. 大数据环境下社会舆情及其演化分析研究[J]. 情报资料工作, 2016, 37(3): 5.
[1] (Wang Yuefen.Research on Public Opinion and Its Evolution Under Big Data Environment[J]. Information and Documentation Services, 2016, 37(3): 5.)
[2] 夏火松, 甄化春. 大数据环境下舆情分析与决策支持研究文献综述[J]. 情报杂志, 2015, 34(2): 1-6, 21.
[2] (Xia Huosong, Zhen Huachun.Public Opinion Analysis and Decision Support Study Under Big Data Surroundings[J]. Journal of Intelligence, 2015, 34(2): 1-6, 21.)
[3] 邢梦婷, 王曰芬. 国内外社会舆情研究的回顾与展望[J]. 情报理论与实践, 2015, 38(11): 139-144.
[3] (Xing Mengting, Wang Yuefen.Review and Prospect of Research on Public Opinion at Home and Abroad[J]. Information Studies: Theory & Application, 2015, 38(11): 139-144.)
[4] File: DIKW (1). png [DB/OL].[2015-10-12]. .
[5] 钟义信. 信息科学原理[M]. 第三版. 北京: 北京邮电大学出版社, 2002: 201-204.
[5] (Zhong Yixin.Principles of Information Science [M]. The 3rd Edition. Beijing: Beijing University of Posts and Telecommunications Press, 2002: 201-204.)
[6] 常绍舜. 从经典系统论到现代系统论[J]. 系统科学学报, 2011, 19(3): 1-4.
[6] (Chang Shaoshun.From Classical System in the Case of Modern System Theory[J]. Journal of Systems Science, 2011, 19(3): 1-4.)
[7] 保罗·A·萨巴蒂尔, 汉克·C.詹金斯-史密斯. 政策变迁与学习——一种倡议联盟途径[M]. 邓征译. 北京: 北京大学出版社, 2011: 36-37.
[7] (Sabatier P A, Jenkins-Smith H C. Policy Change and Learning: An Advocacy Coalition Approach[M]. Translated by Deng Zheng. Beijing: Beijing University Press, 2011: 36-37.)
[8] 约翰·R·扎勒. 公共舆论[M]. 陈心想, 方建锋, 徐法寅, 等译. 北京: 中国人民大学出版社, 2013: 59.
[8] (Zaller J R.The Nature and Origins of Mass Opinion [M]. Translated by Chen Xinxiang, Fang Jianfeng, Xu Fayin, et al. Beijing: China Renmin University Press, 2013: 59.)
[9] 王慧媛. 语义关联对注意捕获的影响[D]. 沈阳: 东北师范大学, 2009.
[9] (Wang Huiyuan.The Influence of Semantic Relevancy on Attentional Capture [D]. Shenyang: Northeast Normal University, 2009.)
[10] Posner M I, Snyder C R.Attention and Cognitive Control[C]. In: Proceedings of Information Processing and Cognition: The Loyola Symposium. Hillsdale, NJ: Erlbaum, 1975: 55-85.
[11] Berners-Lee T, Hendler J, Lassila O, et al.The Semantic Web: A New Form of Web Content That is Meaningful to Computers Will Unleash a Revolution of New Possibilities[J]. Scientific American, 2001, 284(5): 34-43.
[12] Simons D J.Attentional Capture and Inattentional Blindness[J]. Trends in Cognitive Science, 2000, 4(4): 147-155.
[13] 哈罗德.拉斯韦尔. 社会传播的结构与功能[M]. 何道宽译. 北京: 中国传媒大学出版社, 2013: 11-78.
[13] (Lasswell H.The Structure and Function of Communication in Society [M]. Translated by He Daokuan.Beijing: Communication University of China Press, 2013: 11-78.)
[14] 罗伯特·L. 索尔所, M. 金伯利·麦克林, 奥托·H.麦克林.认知心理学[M]. 第7版. 邵志芳等译. 上海: 上海人民出版社, 2008: 2.
[14] (Solso R L, Maclin M K, Maclin O H, et al.Cognitive Psychology[M]. The 7th Edition. Translated by Shao Zhifang, et al. Shanghai: Shanghai People’s Publishing House, 2008: 2.)
[15] 刘晓雪. 问题解决中的元认知作用综述[J]. 社会心理科学, 2013, 28(11): 44-47.
[15] (Liu Xiaoxue.Review on the Role of Metacognition in Problem Solving[J]. Science of Social Psychology, 2013, 28(11): 44-47.)
[16] 米丽娟. 媒介素养科学内涵研究述评[J]. 重庆文理学院学报: 社会科学版, 2010, 29(2): 138-142.
[16] (Mi Lijuan.Discucsing on Research of Science Innotation of Media Literacy[J]. Journal of Chongqing University of Arts and Sciences: Social Sciences Edition, 2010, 29(2): 138-142.)
[17] 李伟权. “互动决策”: 政府公共决策回应机制建设[J]. 探索, 2002(3): 42-45.
[17] (Li Weiquan.The Mutual Action’s Decision-making: The Construction of Response Mechanism to the Government’s Public Decision-making[J]. Probe, 2002(3): 42-45.)
[18] 柴生秦. 新公共管理对中国行政管理改革的借鉴意义[J]. 西北大学学报: 哲学社会科学版, 2000, 30(2): 136-141.
[18] (Chai Shengqin.China’s Administrative Reforms Should Use New Public Management for Reference[J]. Journal of Northwest University: Philosophy and Social Sciences, 2000, 30(2): 136-141.)
[19] 维克托·迈尔-舍恩伯格, 肯尼思·库克耶. 大数据时代——生活、工作与思维的大变革[M]. 盛杨燕, 周涛译. 杭州: 浙江人民出版社, 2013.
[19] (Mayer-Sch?nberger V, Cukier K.Big Data: A Revolution That Will Transform How We Live, Work, and Think [M]. Translated by Sheng Yangyan, Zhou Tao.Hangzhou: Zhejiang People’s Publishing House, 2013.)
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